Triple
T6021086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hayfield |
E134064
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | River Sett |
E262607
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: River Sett | Statement: [Hayfield, hasRiver, River Sett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Sett Context triple: [Hayfield, hasRiver, River Sett]
-
A.
River Sett
chosen
The River Sett is a small river in Derbyshire, England, flowing through the High Peak area and joining the River Goyt near New Mills.
-
B.
Tynedale
Tynedale is a historic valley and district in northern England centered on the River Tyne, known for its rural landscapes, market towns, and Roman heritage.
-
C.
River Wallington
River Wallington is a small river in Hampshire, England, that flows through the town of Fareham before reaching Portsmouth Harbour.
-
D.
River Lostock
River Lostock is a river in Lancashire, England, known for flowing through the Chorley area before joining the River Douglas.
-
E.
Dart Brook
Dart Brook is a minor river in New South Wales, Australia, that forms part of the Hunter River catchment.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c008742a5c8190b9cb9c2787a3d8b3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04fba86a48190984e95d5adf7c7f1 |
completed | March 22, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c108c2e1c88190a1629c6438f6c8bd |
completed | March 23, 2026, 9:32 a.m. |
Created at: March 22, 2026, 4:07 p.m.